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Tutorial: A Survey of Stroke-Based Rendering

Author:

Aaron HertzmannAuthors Info & Claims

IEEE Computer Graphics and Applications, Volume 23, Issue 4

Pages 70 - 81

https://doi.org/10.1109/MCG.2003.1210867

Published: 01 July 2003 Publication History

Abstract

This tutorial describes stroke-based rendering (SBR), an automatic approach to creating nonphotorealistic imagery by placing discrete elements called strokes, such as paint strokes or stipples. Many SBR algorithms and styles have been proposed, including styles of painting, pen-and-ink drawing, tile mosaics, stippling, streamline visualization, and tensor field visualization. This tutorial attempts to make sense of the disparate work in this area by creating a unified view of SBR algorithms, identifying the common elements, as well as the unique ideas of each. Moreover, presenting ideas in this fashion suggests possibilities for future research.

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Wang QDai HYang JGuo CChilds PKleinsmann MGuo YWang P(2024)Learning-based Artificial Intelligence Artwork: Methodology Taxonomy and Quality EvaluationACM Computing Surveys10.1145/369810557:3(1-37)Online publication date: 11-Nov-2024
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Fortuna SBarbieri LMarino EBruno F(2024)A comparative study of Augmented Reality rendering techniques for industrial assembly inspectionComputers in Industry10.1016/j.compind.2023.104057155:COnline publication date: 1-Feb-2024
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Liu XWu YHall P(2023)Painterly Style Transfer With Learned Brush StrokesIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.333295030:9(6309-6320)Online publication date: 15-Nov-2023
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Index Terms

Tutorial: A Survey of Stroke-Based Rendering
1. Applied computing
  1. Document management and text processing
    1. Document capture
      1. Document scanning
      2. Graphics recognition and interpretation
2. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems
      2. Computer vision tasks
        Scene understanding
  2. Computer graphics
    1. Image manipulation

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Published In

cover image IEEE Computer Graphics and Applications

IEEE Computer Graphics and Applications Volume 23, Issue 4

July 2003

98 pages

ISSN:0272-1716

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Copyright © Copyright © 2003 IEEE. All Rights Reserved.

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IEEE Computer Society Press

Washington, DC, United States

Publication History

Published: 01 July 2003

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Cited By

Wang QDai HYang JGuo CChilds PKleinsmann MGuo YWang P(2024)Learning-based Artificial Intelligence Artwork: Methodology Taxonomy and Quality EvaluationACM Computing Surveys10.1145/369810557:3(1-37)Online publication date: 11-Nov-2024
https://dl.acm.org/doi/10.1145/3698105
Fortuna SBarbieri LMarino EBruno F(2024)A comparative study of Augmented Reality rendering techniques for industrial assembly inspectionComputers in Industry10.1016/j.compind.2023.104057155:COnline publication date: 1-Feb-2024
https://dl.acm.org/doi/10.1016/j.compind.2023.104057
Liu XWu YHall P(2023)Painterly Style Transfer With Learned Brush StrokesIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.333295030:9(6309-6320)Online publication date: 15-Nov-2023
https://dl.acm.org/doi/10.1109/TVCG.2023.3332950
Uhde F(2023)Framework for unsupervised incremental evolution of stylized imagesGenetic Programming and Evolvable Machines10.1007/s10710-023-09449-z24:1Online publication date: 28-Feb-2023
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Pan TWang FXie JLiu W(2023)Generating New Paintings by Semantic GuidanceMultiMedia Modeling10.1007/978-3-031-27818-1_49(599-610)Online publication date: 9-Jan-2023
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Todo HKobayashi KKatsuragi JShimotahira HKaji SYue Y(2022)Stroke Transfer: Example-based Synthesis of Animatable Stroke StylesACM SIGGRAPH 2022 Conference Proceedings10.1145/3528233.3530703(1-10)Online publication date: 27-Jul-2022
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Vinker YPajouheshgar EBo JBachmann RBermano ACohen-Or DZamir AShamir A(2022)CLIPassoACM Transactions on Graphics10.1145/3528223.353006841:4(1-11)Online publication date: 22-Jul-2022
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Tong ZWang XYuan SChen XWang JFang XMagalhães Jdel Bimbo ASatoh SSebe NAlameda-Pineda XJin QOria VToni L(2022)Im2Oil: Stroke-Based Oil Painting Rendering with Linearly Controllable Fineness Via Adaptive SamplingProceedings of the 30th ACM International Conference on Multimedia10.1145/3503161.3547759(1035-1046)Online publication date: 10-Oct-2022
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